Nuneaton and Bedworth District : Standard Industrial Classification (2007)

Standard Industrial Classification (2007)

Data cube chart.

Year A: Agriculture, forestry & fishing B: Mining & quarrying C: Manufacturing D: Electricity, gas, steam etc E: Water, sewerage & waste mgt F: Construction G: Wholesale & retail trade H: Transport & storage I: Accommodation & catering J: Information & communication K: Financial & insurance L: Real estate activities. M: Professional, scientific & technical N: Administrative & support O: Public administration & defence P: Education Q: Human health & social work R, S, T, U: Other services
1841 758 Show data context 35 Show data context 584 Show data context 0 Show data context 0 Show data context 99 Show data context 69 Show data context 28 Show data context 25 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 35 Show data context 8 Show data context 19 Show data context 8 Show data context 378 Show data context
1861 822 Show data context 381 Show data context 3,832 Show data context 4 Show data context 2 Show data context 182 Show data context 217 Show data context 105 Show data context 105 Show data context 3 Show data context 3 Show data context 20 Show data context 17 Show data context 15 Show data context 24 Show data context 42 Show data context 16 Show data context 370 Show data context
1881 494 Show data context 1,384 Show data context 3,756 Show data context 10 Show data context 1 Show data context 421 Show data context 304 Show data context 272 Show data context 118 Show data context 4 Show data context 14 Show data context 6 Show data context 35 Show data context 77 Show data context 49 Show data context 99 Show data context 24 Show data context 655 Show data context
1911 1,789 Show data context 2,119 Show data context 6,202 Show data context 95 Show data context 35 Show data context 1,406 Show data context 1,935 Show data context 1,671 Show data context 522 Show data context 81 Show data context 203 Show data context 0 Show data context 137 Show data context 730 Show data context 445 Show data context 453 Show data context 300 Show data context 4,010 Show data context
1931 454 Show data context 6,781 Show data context 11,938 Show data context 217 Show data context 39 Show data context 1,152 Show data context 2,424 Show data context 1,494 Show data context 199 Show data context 12 Show data context 184 Show data context 42 Show data context 113 Show data context 1 Show data context 509 Show data context 354 Show data context 185 Show data context 1,325 Show data context
1951 465 Show data context 5,575 Show data context 8,654 Show data context 171 Show data context 39 Show data context 1,133 Show data context 3,264 Show data context 1,861 Show data context 905 Show data context 0 Show data context 313 Show data context 0 Show data context 134 Show data context 0 Show data context 838 Show data context 619 Show data context 731 Show data context 861 Show data context
1971 746 Show data context 1,048 Show data context 13,851 Show data context 213 Show data context 54 Show data context 2,411 Show data context 5,002 Show data context 1,379 Show data context 976 Show data context 197 Show data context 508 Show data context 78 Show data context 524 Show data context 152 Show data context 1,966 Show data context 2,103 Show data context 1,222 Show data context 1,001 Show data context
2011 118 Show data context 157 Show data context 8,641 Show data context 397 Show data context 486 Show data context 3,836 Show data context 11,698 Show data context 4,748 Show data context 2,662 Show data context 1,482 Show data context 1,747 Show data context 540 Show data context 2,353 Show data context 2,717 Show data context 3,103 Show data context 5,278 Show data context 7,659 Show data context 2,583 Show data context
2021 173 Show data context 40 Show data context 7,386 Show data context 565 Show data context 597 Show data context 4,812 Show data context 11,732 Show data context 5,635 Show data context 2,607 Show data context 1,918 Show data context 1,481 Show data context 547 Show data context 2,265 Show data context 3,004 Show data context 3,244 Show data context 5,500 Show data context 9,390 Show data context 2,193 Show data context
Date Source
1841 1841 Census of Great Britain, Occupations, Table [1] , 'Occupation Abstract'
1861 1861 Census of England and Wales, Ages, Table 17 , 'Occupations of Males aged 20 Years and upwards in Districts'
1881 Great Britain Historical GIS Project Computed from 1881 microdata
1911 1911 Census of England and Wales, Occupations Vol 1, Table 15 A, 'Grouped occupations of Males and Females aged 10 years and upwards, in Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 5,000 persons, aggregates of other Urban Districts, and aggregates of Rural Districts; also proportion per 1,000 of unmarried, married, widowed, and of married and widowed women engaged in occupations, and proportion of female domestic servants to separate occupiers or families, 1911 - Males'
1931 1931 Census of England and Wales, Industry, Table 3 , 'Industries (condensed list) of Males and Females (exclusive of persons out of work)'
1951 1951 Census of England and Wales, Industry, Table 3 , 'Industries (Orders and Selected Units) and Status Aggregates. Occupied Males and Females aged 15 and over', for 'Urban Areas with population of less than 50,000, RD, NT'
1971 1971 Census of England and Wales, Economic activity County Leaflets, Table 3 , 'Industry and status by area of workplace and sex', for 'County, county boroughs, urban areas with populations of 50,000 or more, conurbation centres'
1991 Census of Population
2011 Office for National Statistics, NOMIS - Official Census and Labour Market Statistics (Table KS605UK - Industry)
2021 Office for National Statistics, ONS "Create a Custom Dataset" ("Industry (current)" (19 way))

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nCube definition


The 1831 census provided information at parish-level on the number of males aged over 20 in each of nine occupational categories. Here we group those nine into four to identify the main sectors: "Agriculture" combines large- and small-scale farmers with agricultural labourers. "Manufacturing" focuses on new factory-based industries. "Retail and handicrafts" covers those in small businesses who sold products they made themselves. "Other" covers "capitalists" and professionals, labourers outside agriculture, servants ...

and "others".


How to reference this page:

GB Historical GIS / University of Portsmouth, Nuneaton and Bedworth District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10105328/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026